Pairwise meta-analysis
RR 95%-CI %W(common)
Fonseca 2005 3.0000 [0.3202; 28.1042] 25.4
Fonseca 2019 0.2141 [0.0106; 4.3328] 14.1
Katz 2008 0.8750 [0.1280; 5.9809] 34.5
Ozer 2009 NA 0.0
Van Runnard 2006 0.3548 [0.0156; 8.0730] 13.0
Vigil-De Gracia 1997 0.3333 [0.0146; 7.6344] 13.0
Number of studies: k = 5
Number of observations: o = 449
Number of events: e = 12
RR 95%-CI z p-value
Common effect model 0.7700 [0.2492; 2.3799] -0.45 0.6499
Quantifying heterogeneity:
tau^2 = 0 [0.0000; 7.4236]; tau = 0 [0.0000; 2.7246]
I^2 = 0.0% [0.0%; 79.2%]; H = 1.00 [1.00; 2.19]
Test of heterogeneity:
Q d.f. p-value
2.64 4 0.6192
Details on meta-analytical method:
- Inverse variance method
- Restricted maximum-likelihood estimator for tau^2
- Q-Profile method for confidence interval of tau^2 and tau
- Continuity correction of 0.5 in studies with zero cell frequencies
Risk of bias
Subgroup analysis: Antepartum vs postpartum vs mixed
Subgroup analysis: Dexa vs Beta vs Prednisolone
Sensitivity analysis: Low RoB
Sensitivity analysis: Studies with zero events included
Funnel plot
RR 95%-CI %W(common)
Fonseca 2005 3.0000 [0.3202; 28.1042] 24.2
Fonseca 2019 0.3494 [0.0146; 8.3368] 12.0
Katz 2008 0.3500 [0.0711; 1.7238] 47.6
Ozer 2009 1.0000 [0.0655; 15.2598] 16.3
Number of studies: k = 4
Number of observations: o = 381
Number of events: e = 14
RR 95%-CI z p-value
Common effect model 0.6975 [0.2323; 2.0944] -0.64 0.5207
Quantifying heterogeneity:
tau^2 = 0.1164 [0.0000; 13.2337]; tau = 0.3412 [0.0000; 3.6378]
I^2 = 0.0% [0.0%; 84.7%]; H = 1.00 [1.00; 2.56]
Test of heterogeneity:
Q d.f. p-value
2.60 3 0.4572
Details on meta-analytical method:
- Inverse variance method
- Restricted maximum-likelihood estimator for tau^2
- Q-Profile method for confidence interval of tau^2 and tau
- Continuity correction of 0.5 in studies with zero cell frequencies
RR 95%-CI %W(common)
Fonseca 2005 0.7500 [0.2754; 2.0428] 26.7
Fonseca 2019 0.1892 [0.0239; 1.4998] 6.3
Katz 2008 0.6563 [0.3025; 1.4238] 44.8
Ozer 2009 0.6667 [0.1198; 3.7087] 9.1
Yalcin 1998 1.0000 [0.2390; 4.1844] 13.1
Number of studies: k = 5
Number of observations: o = 406
Number of events: e = 53
RR 95%-CI z p-value
Common effect model 0.6658 [0.3965; 1.1179] -1.54 0.1239
Quantifying heterogeneity:
tau^2 = 0 [0.0000; 2.4607]; tau = 0 [0.0000; 1.5687]
I^2 = 0.0% [0.0%; 79.2%]; H = 1.00 [1.00; 2.19]
Test of heterogeneity:
Q d.f. p-value
1.78 4 0.7753
Details on meta-analytical method:
- Inverse variance method
- Restricted maximum-likelihood estimator for tau^2
- Q-Profile method for confidence interval of tau^2 and tau
Number of observations: o = 60
Number of events: e = 1
RR 95%-CI z p-value
Ozer 2009 3.0000 [0.1271; 70.7833] 0.68 0.4958
Details:
- Continuity correction of 0.5
RR 95%-CI %W(common)
Ozer 2009 0.3333 [0.0141; 7.8648] 45.4
Van Runnard 2006 0.1521 [0.0085; 2.7116] 54.6
Number of studies: k = 2
Number of observations: o = 91
Number of events: e = 4
RR 95%-CI z p-value
Common effect model 0.2171 [0.0258; 1.8257] -1.41 0.1598
Quantifying heterogeneity:
tau^2 = 0; tau = 0; I^2 = 0.0%; H = 1.00
Test of heterogeneity:
Q d.f. p-value
0.13 1 0.7191
Details on meta-analytical method:
- Inverse variance method
- Restricted maximum-likelihood estimator for tau^2
- Continuity correction of 0.5 in studies with zero cell frequencies
RR 95%-CI %W(common)
Fonseca 2005 1.2000 [0.5574; 2.5832] 40.5
Fonseca 2019 0.8571 [0.4556; 1.6126] 59.5
Number of studies: k = 2
Number of observations: o = 219
Number of events: e = 49
RR 95%-CI z p-value
Common effect model 0.9821 [0.6031; 1.5994] -0.07 0.9422
Quantifying heterogeneity:
tau^2 = 0; tau = 0; I^2 = 0.0%; H = 1.00
Test of heterogeneity:
Q d.f. p-value
0.44 1 0.5069
Details on meta-analytical method:
- Inverse variance method
- Restricted maximum-likelihood estimator for tau^2
RR 95%-CI %W(common)
Magann 1994 0.3611 [0.0432; 3.0169] 28.3
Van Runnard 2006 0.7969 [0.2103; 3.0197] 71.7
Number of studies: k = 2
Number of observations: o = 58
Number of events: e = 11
RR 95%-CI z p-value
Common effect model 0.6372 [0.2062; 1.9693] -0.78 0.4337
Quantifying heterogeneity:
tau^2 = 0; tau = 0; I^2 = 0.0%; H = 1.00
Test of heterogeneity:
Q d.f. p-value
0.38 1 0.5359
Details on meta-analytical method:
- Inverse variance method
- Restricted maximum-likelihood estimator for tau^2